VIEW ARTICLE (3)
STTDetail
1

Garbage classification using deep learning technology

Garbage classification has always been an important issue in environmental protection, resource recycling, and social livelihood. However, garbage classification takes a lot of time and effort....

Author: Ngo Huu-Huy, Bui Tung Van, Le Linh Hung, Nguyen Minh Duy

Keyword: Artificial Intelligence; convolutional neural network; deep learning; garbage classification; machine learning.

2

BiDAF model in sentiment analysis task

Sentiment analysis is a critical job in natural language processing. Controlling and evaluating customer feedback on their goods is a task that companies are especially interested in. For reading...

Author: Huế Lương Thị Minh

Keyword: Natural language processing; LSTM; deep learning; machine learning; BiDAF.

3

Improving the efficacy of network security based on dimensionality reduction techniques

This paper focuses on proposing a network intrusion detection model applying fundamental machine learning techniques to enhance early detection of network intrusions (rapid detection of attack...

Author: Phuong Hoang Thi

Keyword: Network attack DDoS machine learning deep learning dimensionality reduction

Vinh University journal of science

Tạp chí khoa học Trường Đại học Vinh

ISSN: 1859 - 2228

Governing body: Vinh University

  • Address: 182 Le Duan - Vinh City - Nghe An province
  • Phone: (+84) 238.3855.452 - Fax: (+84) 238.3855.269
  • Email: vinhuni@vinhuni.edu.vn
  • Website: https://vinhuni.edu.vn

 

License: 163/GP-BTTTT issued by the Minister of Information and Communications on May 10, 2023

Open Access License: Creative Commons CC BY NC 4.0

 

CONTACT

Editor-in-Chief: Assoc. Prof., Dr. Tran Ba Tien
Email: tientb@vinhuni.edu.vn

Deputy editor-in-chief: Dr. Phan Van Tien
Email: vantientkxd@vinhuni.edu.vn

Sub-Editor: Dr. Do Mai Trang
Email: domaitrang@vinhuni.edu.vn

Editorial assistant: Msc. Le Tuan Dung, Dr. Le Thanh Nga

  • Address: 4th Floor, Executive Building, No. 182, Le Duan street, Vinh city, Nghe An province.
  • Phone: (+84) 238-385-6700 | Hotline: (+84) 97-385-6700
  • Email: editors@vujs.vn
  • Website: https://vujs.vn

img